DocumentCode
3596953
Title
Dofetilide unmasks occult congenital long QT syndrome type 2: A simulation study
Author
Romero, Lucila ; Trenor, B. ; Ferrero, Jose M. ; Saiz, J. ; Clancy, C.E.
Author_Institution
I3BH, Univ. Politec. de Valencia, Valencia, Spain
fYear
2012
Firstpage
845
Lastpage
848
Abstract
Accurate diagnosis of long QT syndrome is a key factor for reducing the risk of cardiac arrhythmias. Our goal is to investigate the potential use of dofetilide to unmask latent IKr mutation carriers. A modified version of the O´Hara et al. model was used to simulate the electrical activity of isolated cardiac cells. The original IKr formulation was replaced by the Fink et al. Markov model of the human IKr channels and our dynamic model of dofetilide was used to simulate drug administration. A sensitivity analysis was performed to study the effect of IKr transition rate alterations on AP duration (APD) prolongation in the absence and in the presence of dofetilide. Our results show that acceleration of the rate transition from open to the last closed state (ββ) produced the shortest prolongation of the APD in the absence of the drug. However, ββ acceleration provoked the highest additional APD prolongation under dofetilide exposure related to the APD prolongation observed before the drug application. In addition, this IKr alteration was the transition rate modification that most increased the rate of deactivation. In conclusion, our observations indicate that dofetilide could potentially be used to unmask IKr mutations accelerating the deactivation process.
Keywords
bioelectric phenomena; cardiology; diseases; drugs; medical diagnostic computing; medical disorders; sensitivity analysis; ββ acceleration; IKr formulation; cardiac arrhythmias; cardiac cells; dofetilide; electrical activity; occult congenital long QT syndrome type 2; sensitivity analysis; transition rate alterations; Acceleration; Drugs; Electric potential; Genetics; Humans; Markov processes; Steady-state;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing in Cardiology (CinC), 2012
ISSN
2325-8861
Print_ISBN
978-1-4673-2076-4
Type
conf
Filename
6420526
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